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4 th Esri Eastern Africa Education GIS User Conference Geospatial Technology Based Regolith Mapping in the Western Metamorphic Terrain, Ethiopia. BY: Gizachew Kabite Date: 23/2016 Presentation outlines Introduction Methods and


  1. 4 th Esri Eastern Africa Education GIS User Conference Geospatial Technology Based Regolith Mapping in the Western Metamorphic Terrain, Ethiopia. BY: Gizachew Kabite Date: 23/2016

  2. Presentation outlines  Introduction  Methods and Materials  Description of the Study Area  Methodology followed  Results and Discussions  Conclusions 9/30/2016 Regolith Mapping 2

  3. Introduction  Regolith: all weathering products accumulated on basement rocks overtime (Crooks, 2002).  Includes both in-situ weathered and transported.  Regolith map can be used for several applications (Roach, 2003).  Remote sensing can provide valuable information for regolith mapping and characterization (Kruse et al., 2003; Perry, 2004).  Band ratio and Principal Component Analysis are the common image analysis used for information extraction (Yesou et al., 1993).  Scarcely utilized for regolith mapping.  Processed Landsat shows high degree of regolith-landform map. 9/30/2016 Regolith Mapping 3

  4. Introduction  Despite the valuable application of regolith mapping, very few research were done so far globally but even no research were tried in Ethiopia. Objective of the Study  To map and characterize regolith in the study area using the state-of-the-art so as to provide baseline information particularly for groundwater potential and mineral exploration studies. 9/30/2016 Regolith Mapping 4

  5. Materials and Methods Description of the Study Area 35°0'0"E 40°0'0"E 45°0'0"E  Western Metamorphic Terrain is one 15°0'0"N Eritrea 15°0'0"N Yemen of the largest basement terrain in · Sudan Ethiopia. Djibouti Red Sea  Covers about 85,000km 2 total area. 10°0'0"N 10°0'0"N  The area is endowed mainly with Ethioipia gold and marble mineral resources. Legend International Boundary Study Area South Sudan 5°0'0"N 5°0'0"N Somalia Kenya Uganda Indian Ocean 35°0'0"E 40°0'0"E 45°0'0"E 1:8,000,000 Kms 0 90 180 360 540 720 9/30/2016 Regolith Mapping 5

  6. Materials and Methods Methodology ASTER DEM (30*30m) ETM+ Images Pre-processing Pre-Processing 5/7, 5/4, DPCA, 5/4, 7, 5, 1 3/1 7+1 Elevation class Slope Class Comparison of the images Landform unsupervised Classification Overlay Analysis Classified Regolith classes Regolith Land Units Map  DPCA(4/3 & 5/7) separate clay from vegetation; 5/4 highlights ferruginous materials; 7+1 highlight silicate-rich materials; 5/7 indicate clay mineral and 3/1 indicate Iron-oxide. 9/30/2016 Regolith Mapping 6

  7. Results and Discussions Clay Minerals 35°0'0"E 36°0'0"E 37°0'0"E  Mapped from 5/7 band ratio (Richards & Xiuping, · 12°0'0"N 2006).  Used to identify hydroxyl-bearing minerals 11°0'0"N  High value indicates the presence of clay minerals while low value shows unaltered rocks (Rawashdeh 10°0'0"N et al., 2006). Legend 9°0'0"N  The spatial variation of clay content in the area Clay Mineral Value High : 24.6 revealed diversity of weathering intensity. Low : 0  The high value indicates active weathered area. 8°0'0"N  Lower value revealed areas with relatively unaltered rocks. 7°0'0"N 1:2,600,000 Kms 0 15 30 60 90 120 9/30/2016 Regolith Mapping 7

  8. Results and Discussions Iron-Oxide 35°0'0"E 36°0'0"E 37°0'0"E  Recognized using ratio of band 3/1 (Druy, 1993; Richards · 12°0'0"N and Xiuping, 2006).  High value indicates the presence of weathered iron 11°0'0"N minerals while non-iron-oxide bearing zones (Rawashdeh et al., 2006). 10°0'0"N  Iron-oxide varies spatially within the study area revealing variation of weathering extent in the areas. 9°0'0"N Legend Iron Oxide High : 2.3  Area with high clay content are shown to have low Iron- Low : 0 8°0'0"N oxide. 7°0'0"N 1:2,600,000 Kms 0 15 30 60 90 120 9/30/2016 Regolith Mapping 8

  9. Results and Discussions Ferrous Mineral 35°0'0"E 36°0'0"E 37°0'0"E  Band · ratio of 5/4 is used to identify ferrous 12°0'0"N mineral((Papp, 2002).  High value corresponds to high ferrous mineral while 11°0'0"N low value indicates the presence of non-ferrous mineral.  The spatial distribution of Ferrous minerals also 10°0'0"N indicates the variation of weathering extent in the area. 9°0'0"N  Area with high clay mineral also contain low ferrous Legend Ferrous Mineral High : 24 minerals. Low : 0 8°0'0"N 7°0'0"N 1:2,600,000 Kms 0 15 30 60 90 120 9/30/2016 Regolith Mapping 9

  10. Results and Discussions Regolith Units 35°0'0"E 36°0'0"E 37°0'0"E ·  Classified from color composite of DPCA band ratio 12°0'0"N (4/3 and 5/7), 5/4 and 7+1 assigned as RGB.  Each class has assumed to be with the same regolith 11°0'0"N characteristics.  Input for regolith land unit mapping. 10°0'0"N 9°0'0"N Legend Class Name Class 5 Class 4 8°0'0"N Class 3 Class 2 Class 1 7°0'0"N 1:2,600,000 Kms 0 15 30 60 90 120 9/30/2016 Regolith Mapping 10

  11. Results and Discussions Landform Map 35°0'0"E 36°0'0"E 37°0'0"E  Output of slope and elevation classes overlay. 12°0'0"N ·  Input in regolith land units mapping process.  Most of the study area is lowland 11°0'0"N Landform Slope% Elevation (m) Descriptions Foot slope 0-5 0-500 Lowest areas with flat slope 10°0'0"N Lowland 5-10 500-1000 Flat area with gentle slope Legend Landforms Plain 10-15 1000-1500 Broad, flat & rolling slope Footslope Hilltops Hilltops 15-30 1500-2000 Raised part with steep slope Lowland Mountains 9°0'0"N Mountains >30 >2000 High rock land with very steep Plain slope. Sources: Chabala et al. (2013); Worldlandforms.com. 8°0'0"N 7°0'0"N 1:2,600,000 0 15 30 60 90 120 Kms 9/30/2016 Regolith Mapping 11

  12. Results and Discussions Regolith Land Unit Map  Land units with relatively homogenous regolith character 35°0'0"E 36°0'0"E 37°0'0"E 12°0'0"N and similar landforms. ·  Each with specific slope and similar weathering intensity.  But not necessarily show uniform regolith materials. 11°0'0"N  Typically show associations where landform and regolith attributes are linked. 10°0'0"N  The purity of the units depends on the mapping scale Legend Regolith Land Unit used. RLU1 9°0'0"N RLU2 RLU3 RLU4 RLU5 8°0'0"N 7°0'0"N 1:2,600,000 0 15 30 60 90 120 Kms 9/30/2016 Regolith Mapping 12

  13. Conclusions  The integrated Geospatial Technologies are found to be an indispensable approach in regolith mapping.  Band ratio and DPCA techniques are vital in providing regolith and weathering information.  Color compositing band ratio are effective in showing signatures of various regolith units.  Despite the geology of the area is the same, five different units are identified.  Revealed that degree of weathering is controlled by other factors like rainfall, vegetation and temperature in the study area.  By accounting the effect of topography, five Regolith Land Units are also identified and mapped.  Each RLUs could possibly show similar landform and regolith characteristics but the purity of the unit depends on the mapping scale.  Generally, if supported by detail field data, the methodology followed in this research is effective in mapping regolith with time and cost effectively. 9/30/2016 Regolith Mapping 13

  14. THANK YOU! 14 9/30/2016 Regolith Mapping

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